Cover Image

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lv, Haoze, Lu, Ning, Zhou, Ziang, Liu, Shengcai
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
by: Liu, Fei, et al.
Published: (2024)

QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution
by: Chen, Zijie, et al.
Published: (2024)

Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search
by: Lv, Haoze, et al.
Published: (2025)

HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
by: Dat, Pham Vu Tuan, et al.
Published: (2024)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
by: Zhang, Rui, et al.
Published: (2024)

Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
by: Holliday, Andrew, et al.
Published: (2024)

CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models
by: Wang, Yu-Nian, et al.
Published: (2026)

LLM-Driven Instance-Specific Heuristic Generation and Selection
by: Zhang, Shaofeng, et al.
Published: (2025)

HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
by: Chen, Chentong, et al.
Published: (2025)

In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
by: van Stein, Niki, et al.
Published: (2024)

BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
by: Lin, Subin, et al.
Published: (2025)

Explainable Benchmarking for Iterative Optimization Heuristics
by: van Stein, Niki, et al.
Published: (2024)

JaxLife: An Open-Ended Agentic Simulator
by: Lu, Chris, et al.
Published: (2024)

Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
by: Ha, Minh Hieu, et al.
Published: (2025)

PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems
by: Malik, Manuj, et al.
Published: (2026)

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

AgenticRed: Evolving Agentic Systems for Red-Teaming
by: Yuan, Jiayi, et al.
Published: (2026)

Evolutionary Reinforcement Learning via Cooperative Coevolution
by: Hu, Chengpeng, et al.
Published: (2024)

An Extended Jump Functions Benchmark for the Analysis of Randomized Search Heuristics
by: Bambury, Henry, et al.
Published: (2021)

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
by: Ye, Haoran, et al.
Published: (2024)

AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures
by: Zhao, Qi, et al.
Published: (2022)

To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX
by: Heins, Jonathan, et al.
Published: (2025)

Reactor Optimization Benchmark by Reinforcement Learning
by: Schwarcz, Deborah, et al.
Published: (2024)

Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning
by: Hu, Chengpeng, et al.
Published: (2025)

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
by: Yang, Xu, et al.
Published: (2025)

Meta Context Engineering via Agentic Skill Evolution
by: Ye, Haoran, et al.
Published: (2026)

GEAR: Genetic AutoResearch for Agentic Code Evolution
by: Jeddi, Ahmadreza, et al.
Published: (2026)

Decoupling Numerical and Structural Parameters: An Empirical Study on Adaptive Genetic Algorithms via Deep Reinforcement Learning for the Large-Scale TSP
by: Wang, Hongyu, et al.
Published: (2026)

RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
by: Lian, Hongqiao, et al.
Published: (2024)

Improving Planning with Large Language Models: A Modular Agentic Architecture
by: Webb, Taylor, et al.
Published: (2023)

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection
by: Ming, Fei, et al.
Published: (2024)

Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
by: Ma, Zeyuan, et al.
Published: (2024)

An Evolutionary Framework for Automatic Optimization Benchmark Generation via Large Language Models
by: Ono, Yuhiro, et al.
Published: (2026)

Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization
by: Wang, Rongzheng, et al.
Published: (2026)

R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm
by: Tahernezhad-Javazm, Farajollah, et al.
Published: (2024)

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
by: Guo, Hongshu, et al.
Published: (2024)

LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
by: van Stein, Niki, et al.
Published: (2024)

Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
by: Sun, Yinqian, et al.
Published: (2023)

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
by: Huang, Ziyao, et al.
Published: (2025)

CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies
by: Zhang, Sibo, et al.
Published: (2026)